Does the golang SDK support Sparse Vector search?

[juanandreas]

https://milvus.io/docs/sparse_vector.md

This example only shows pymilvus example. Can we do the same with the go sdk? I think currently the go sdk search only expects a vector of type slice.

[xiaofan-luan]

I think this is under development.
could be ready some time this month

[juanandreas]

Is sparse vector search on go sdk still on track for release?

[yhmo]

It seems the go sdk v2.4.0 has already supported sparse vector: https://github.com/milvus-io/milvus-sdk-go/releases/tag/v2.4.0
The release note mentioned:

• enhance: Support Sparse Embedding by @congqixia in enhance: Support Sparse Embedding milvus-sdk-go#684

If you don't know how to create sparse vector, read the test code:
https://github.com/milvus-io/milvus-sdk-go/blob/d346d3ed3898244bf17a324767b220b808c52c25/test/common/utils.go#L1348
https://github.com/milvus-io/milvus-sdk-go/blob/d346d3ed3898244bf17a324767b220b808c52c25/test/common/utils.go#L229
https://github.com/milvus-io/milvus-sdk-go/blob/d346d3ed3898244bf17a324767b220b808c52c25/test/testcases/search_test.go#L1665

[juanandreas]

Correct me if I'm wrong but looking from the code I think it only supports creating sparse vectors, but the client has yet to support SEARCH on collections with sparse vectors.

[juanandreas]

I followed the L1665 test cased in search_test.go. I was able to successfully run a sparse vector search but I am only getting one result. Trying the same inputs and parameters on pymilvus, I get 50 results. Does the search code work the same under the hood for both SDKs?

I see that using client.Query() gets me 50 results. Why does client.Search give one result but client.Query returns many?

[yhmo]

This line generates 5 sparse vectors since the common.DefaultNq=5: https://github.com/milvus-io/milvus-sdk-go/blob/d346d3ed3898244bf17a324767b220b808c52c25/test/testcases/search_test.go#L1690C22-L1690C38

This line verifies that the search result contains 5 groups of topk items: https://github.com/milvus-io/milvus-sdk-go/blob/d346d3ed3898244bf17a324767b220b808c52c25/test/testcases/search_test.go#L1695

This line verifies that each result group has top10 items since the common.DefaultTopK=10: https://github.com/milvus-io/milvus-sdk-go/blob/d346d3ed3898244bf17a324767b220b808c52c25/test/testcases/search_test.go#L1699

The search() interface allows multiple vectors by the "queryVec".
If there are 2 vectors in "queryVec", topk=3, the search result will look like:

{
   "top5 of the first vector": [
        "top1": {id: xxx, distance: xxxx},
        "top2": {id: xxx, distance: xxxx},
        "top3": {id: xxx, distance: xxxx},
   ],
   "top5 of the second vector": [
        "top1": {id: xxx, distance: xxxx},
        "top2": {id: xxx, distance: xxxx},
        "top3": {id: xxx, distance: xxxx},
   ],
}

So, double-check your input and the result. The test case already verified it is correct, I don't think the SDK has any problem.